Building Intelligent
Autonomous Architectures
I'm Vincenzo Barbuto, a Research Fellow at DIMES, University of Calabria, Italy. Exploring the frontiers of Edge AI, Digital Twins, and Cyber-Physical Systems.
About Me
My academic journey and research interests.
My research focuses on Edge Intelligence, an emerging field at the intersection of artificial intelligence (AI), the Internet of Things (IoT), and edge computing. Specifically, I investigate intelligent devices and systems capable of processing data locally, reducing reliance on cloud-based services. My goal is to understand how these devices can seamlessly integrate into complex cyber-physical systems, ranging from intelligent traffic monitoring to emergency vehicle detection. Beyond Edge Intelligence, I am also interested in Digital Twins, digital counterparts of physical systems.
Research Interests
- Edge Intelligence / Edge AI
- Digital Twin
- Internet of Things
- Cyber-Physical Systems
Education
PhD in ICT
University of Calabria
Visiting Student Researcher
University of California, Berkeley
MSc Computer Eng. for the IoT
University of Calabria
MSc Data Sci. & Network Intel.
Télécom SudParis
BSc Computer Engineering
University of Calabria
Core Technologies
Featured Project
A deep dive into one of my key research activities.
Recent Publications
My latest research on Edge AI and Digital Twins.
200citations6h-index4i10-index
Agentic AI and Digital Twin: A Good Marriage?
Conference Paper2026 IEEE Smart World Congress (SWC)2026With the rapid advancement of Agentic Artificial Intelligence (AAI) and the increasing maturity of Digital Twin (DT) technologies, a new paradigm is emerging at the intersection of cognitive autonomy and cyber physical system (CPS) representation. In fact, DT provides high-fidelity virtual models of physical assets and processes, enabling monitoring, simulation, and scenario analysis; in parallel, AAI introduces autonomous reasoning, planning, coordination, and workflow orchestration capabilities that allow systems to operate with minimal human intervention. The convergence of these two paradigms opens the door to a powerful yet complex synergy. The aim of this paper is exactly to systematically investigate the marriage between DT and AAI by examining their definitions, architectural roles, and integration patterns. To achieve this objective, we conduct a systematic mapping following the PRISMA methodology: by clarifying the conditions under which their convergence becomes meaningful, this work provides a structured foundation for understanding the emerging DT-AAI systems and their application domains, limitations, and open challenges.
Agentic AIDigital TwinAI AgentsRead paperAn Edge–Cloud Digital Twin Platform for Intelligent Smart Park Services
Conference Paper2026 IEEE Smart World Congress (SWC)2026Protected natural areas increasingly require intelligent infrastructures to monitor environmental conditions, support visitors, and assist park management while preserving privacy and operating under limited connectivity. Addressing these challenges requires integrated architectures that combine distributed sensing, edge intelligence, cloud services, and Digital Twin (DT) technologies. This work presents a Smart Park platform developed for the "I Giganti della Sila" State Reserve in the Sila National Park, Calabria, Italy. The platform adopts a layered edge–cloud architecture organized around a closed operational loop that acquires environmental and visitor data, processes them through distributed intelligence, and delivers actionable services to visitors and park operators. A territorial DT federates multiple sensing and analytics subsystems into a unified, real-time representation of the park.
Cloud ComputingEdge ComputingDigital TwinPark ServicesRead paperWearable Monitoring for Early Cardiotoxicity Detection in Cancer Patients: The COMPASS Vision
Conference Paper2026 IEEE International Workshop on Metrology for Living Environment (MetroLivEnv)2026Cancer therapies have substantially improved survival outcomes, yet cancer therapy-related cardiovascular toxicity (CTR-CVT) remains a major concern, with approximately one in four anticancer drugs carrying cardiac or vascular safety warnings. Since current monitoring relies on periodic hospital-based assessments, transient or progressively evolving cardiovascular alterations often escape timely detection. Within the context of COMPASS (Cardio-Oncology Multidisciplinary Patient Assistance Solution), an EU Innovative Health Initiative (IHI) project (Grant Agreement No. 101253264), this extended abstract explores continuous wearable sensing in real-world environments as a complementary paradigm for early detection of CTR-CVT. After reviewing the clinical indicators most relevant to longitudinal monitoring, we survey the corresponding wearable modalities together with their typical accuracy ranges and metrological limitations, and introduce the COMPASS research vision integrating wearable-derived data into AI-based clinical decision support for personalized cardio-oncology care.
Wearable MonitoringCardiotoxicityeHealthCOMPASS VisionRead paper
Recent Talks & News
Latest presentations and conference talks.
- September 2026
An Edge-Cloud Digital Twin Platform for Intelligent Smart Park Services
The 2026 IEEE International Conference on Digital Twin (IEEE Digital Twin 2026)Protected natural areas increasingly require intelligent infrastructures to monitor environmental conditions, support visitors, and assist park management while preserving privacy and operating under limited connectivity. Addressing these challenges requires integrated architectures that combine distributed sensing, edge intelligence, cloud services, and Digital Twin (DT) technologies. This work presents a Smart Park platform developed for the "I Giganti della Sila" State Reserve in the Sila National Park, Calabria, Italy. The platform adopts a layered edge-cloud architecture organized around a closed operational loop that acquires environmental and visitor data, processes them through distributed intelligence, and delivers actionable services to visitors and park operators. A territorial DT federates multiple sensing and analytics subsystems into a unified, real-time representation of the park.
- September 2026
Digital Twin Engineering: Architectures, AI Techniques, and the TopDown/BottomUp Lifecycle of Behavior Model Construction
Tutorial @ 2026 IEEE Smart World Congress (IEEE SWC 2026)Tutorial co-presented with Dr. Roberto Minerva exploring the software-oriented foundations of Digital Twin engineering. It examines how architectural choices, AI techniques (Deep Learning, Generative AI, and Reinforcement Learning in the loop), and top-down/bottom-up methodologies shape viable behavior models across the entire lifecycle of a Twin.